Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

water_supply is highly overall correlated with Total_Population and 15 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Female_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Power_usage is highly overall correlated with Total_Population and 11 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Business_above_100 is highly overall correlated with water_supply and 15 other fieldsHigh correlation
complex_area is highly overall correlated with water_supply and 16 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 13 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with water_supply and 16 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with water_supply and 16 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 16 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with water_supply and 14 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Average_Temp is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Monthly_RainfallHigh correlation
Ground_Temp is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
water_supply has unique valuesUnique
Population_per_Households has unique valuesUnique
Power_usage has unique valuesUnique
employment_insurance_ratio has unique valuesUnique

Reproduction

Analysis started2023-09-01 01:28:06.112708
Analysis finished2023-09-01 01:28:51.208073
Duration45.1 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36240.294
Minimum29786.548
Maximum45115.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:51.254638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum29786.548
5-th percentile31019.589
Q133193.5
median35786.177
Q338589.73
95-th percentile42439.942
Maximum45115.71
Range15329.161
Interquartile range (IQR)5396.2298

Descriptive statistics

Standard deviation3653.0063
Coefficient of variation (CV)0.10079958
Kurtosis-0.66387139
Mean36240.294
Median Absolute Deviation (MAD)2671.3167
Skewness0.37346969
Sum5218602.3
Variance13344455
MonotonicityNot monotonic
2023-09-01T10:28:51.330307image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31840 1
 
0.7%
30426.92857 1
 
0.7%
38161.93333 1
 
0.7%
37466.12903 1
 
0.7%
37219.36667 1
 
0.7%
36358.03226 1
 
0.7%
37411.06452 1
 
0.7%
40510.57143 1
 
0.7%
38308.51613 1
 
0.7%
37906.43333 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
29786.54839 1
0.7%
30171.36667 1
0.7%
30226.09677 1
0.7%
30303.46667 1
0.7%
30426.92857 1
0.7%
30755.25806 1
0.7%
30878.23333 1
0.7%
30978.58065 1
0.7%
31251.96667 1
0.7%
31307.51613 1
0.7%
ValueCountFrequency (%)
45115.70968 1
0.7%
45046.25806 1
0.7%
44031.32258 1
0.7%
43739.7 1
0.7%
43490.83333 1
0.7%
43390.16129 1
0.7%
42811.58065 1
0.7%
42466.96667 1
0.7%
42286.8 1
0.7%
42158.63333 1
0.7%

Total_Population
Real number (ℝ)

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123094.18
Minimum114483
Maximum128425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:51.405685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum114483
5-th percentile115444.35
Q1120228.25
median124080
Q3126477
95-th percentile127856.8
Maximum128425
Range13942
Interquartile range (IQR)6248.75

Descriptive statistics

Standard deviation3823.3867
Coefficient of variation (CV)0.031060662
Kurtosis-0.62468842
Mean123094.18
Median Absolute Deviation (MAD)2571
Skewness-0.66136991
Sum17725562
Variance14618286
MonotonicityNot monotonic
2023-09-01T10:28:51.478091image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125951 2
 
1.4%
126477 2
 
1.4%
127073 1
 
0.7%
121447 1
 
0.7%
122394 1
 
0.7%
122240 1
 
0.7%
122059 1
 
0.7%
121894 1
 
0.7%
121742 1
 
0.7%
121575 1
 
0.7%
Other values (132) 132
91.7%
ValueCountFrequency (%)
114483 1
0.7%
114662 1
0.7%
114769 1
0.7%
114942 1
0.7%
115155 1
0.7%
115239 1
0.7%
115305 1
0.7%
115431 1
0.7%
115520 1
0.7%
115573 1
0.7%
ValueCountFrequency (%)
128425 1
0.7%
128300 1
0.7%
128270 1
0.7%
128095 1
0.7%
128068 1
0.7%
127899 1
0.7%
127893 1
0.7%
127870 1
0.7%
127782 1
0.7%
127675 1
0.7%

Households
Real number (ℝ)

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55845.306
Minimum52494
Maximum58048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:51.557462image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum52494
5-th percentile52571.9
Q154965
median56101.5
Q356754
95-th percentile57824.95
Maximum58048
Range5554
Interquartile range (IQR)1789

Descriptive statistics

Standard deviation1391.7764
Coefficient of variation (CV)0.024921994
Kurtosis-0.01639693
Mean55845.306
Median Absolute Deviation (MAD)1017.5
Skewness-0.56256566
Sum8041724
Variance1937041.5
MonotonicityNot monotonic
2023-09-01T10:28:51.627581image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55190 2
 
1.4%
56617 2
 
1.4%
52494 1
 
0.7%
56645 1
 
0.7%
56650 1
 
0.7%
56695 1
 
0.7%
56679 1
 
0.7%
56633 1
 
0.7%
56663 1
 
0.7%
56644 1
 
0.7%
Other values (132) 132
91.7%
ValueCountFrequency (%)
52494 1
0.7%
52537 1
0.7%
52539 1
0.7%
52541 1
0.7%
52542 1
0.7%
52557 1
0.7%
52558 1
0.7%
52565 1
0.7%
52611 1
0.7%
53666 1
0.7%
ValueCountFrequency (%)
58048 1
0.7%
58030 1
0.7%
57990 1
0.7%
57989 1
0.7%
57969 1
0.7%
57957 1
0.7%
57881 1
0.7%
57826 1
0.7%
57819 1
0.7%
57753 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2070825
Minimum1.9722127
Maximum2.4207147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:51.706274image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.9722127
5-th percentile2.0012102
Q12.1184114
median2.2132741
Q32.3012812
95-th percentile2.4058453
Maximum2.4207147
Range0.4485021
Interquartile range (IQR)0.18286981

Descriptive statistics

Standard deviation0.11997539
Coefficient of variation (CV)0.054359269
Kurtosis-0.87388236
Mean2.2070825
Median Absolute Deviation (MAD)0.090896934
Skewness-0.18842547
Sum317.81987
Variance0.014394094
MonotonicityNot monotonic
2023-09-01T10:28:51.779787image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.420714748 1
 
0.7%
2.416853762 1
 
0.7%
2.165068094 1
 
0.7%
2.161394528 1
 
0.7%
2.15881471 1
 
0.7%
2.15670707 1
 
0.7%
2.155262833 1
 
0.7%
2.152957592 1
 
0.7%
2.148527258 1
 
0.7%
2.146261806 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.972212652 1
0.7%
1.975909013 1
0.7%
1.979117089 1
0.7%
1.983228946 1
0.7%
1.989512966 1
0.7%
1.993099154 1
0.7%
1.996519661 1
0.7%
2.000467921 1
0.7%
2.005416291 1
0.7%
2.005811447 1
0.7%
ValueCountFrequency (%)
2.420714748 1
0.7%
2.416853762 1
0.7%
2.415615067 1
0.7%
2.41548505 1
0.7%
2.413303651 1
0.7%
2.41201439 1
0.7%
2.408891934 1
0.7%
2.406106725 1
0.7%
2.404364106 1
0.7%
2.378136234 1
0.7%

Male_Population
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61592.889
Minimum57147
Maximum64296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:51.855389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum57147
5-th percentile57752.2
Q160117.5
median62065.5
Q363149.75
95-th percentile64013.05
Maximum64296
Range7149
Interquartile range (IQR)3032.25

Descriptive statistics

Standard deviation1942.9221
Coefficient of variation (CV)0.031544585
Kurtosis-0.59681175
Mean61592.889
Median Absolute Deviation (MAD)1256.5
Skewness-0.65549311
Sum8869376
Variance3774946.3
MonotonicityNot monotonic
2023-09-01T10:28:51.928260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62989 2
 
1.4%
63799 1
 
0.7%
60880 1
 
0.7%
61301 1
 
0.7%
61259 1
 
0.7%
61204 1
 
0.7%
61120 1
 
0.7%
61042 1
 
0.7%
60956 1
 
0.7%
60763 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
57147 1
0.7%
57269 1
0.7%
57304 1
0.7%
57426 1
0.7%
57567 1
0.7%
57624 1
0.7%
57674 1
0.7%
57742 1
0.7%
57810 1
0.7%
57835 1
0.7%
ValueCountFrequency (%)
64296 1
0.7%
64222 1
0.7%
64219 1
0.7%
64146 1
0.7%
64119 1
0.7%
64067 1
0.7%
64029 1
0.7%
64015 1
0.7%
64002 1
0.7%
64000 1
0.7%

Female_Population
Real number (ℝ)

Distinct141
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61501.292
Minimum57336
Maximum64129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:52.577360image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum57336
5-th percentile57692.15
Q160113.75
median62014.5
Q363047.25
95-th percentile63861.6
Maximum64129
Range6793
Interquartile range (IQR)2933.5

Descriptive statistics

Standard deviation1884.4197
Coefficient of variation (CV)0.030640327
Kurtosis-0.65162776
Mean61501.292
Median Absolute Deviation (MAD)1285.5
Skewness-0.65426973
Sum8856186
Variance3551037.5
MonotonicityNot monotonic
2023-09-01T10:28:52.651545image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63949 2
 
1.4%
63044 2
 
1.4%
62962 2
 
1.4%
60684 1
 
0.7%
61135 1
 
0.7%
61036 1
 
0.7%
60939 1
 
0.7%
60852 1
 
0.7%
60786 1
 
0.7%
60695 1
 
0.7%
Other values (131) 131
91.0%
ValueCountFrequency (%)
57336 1
0.7%
57393 1
0.7%
57465 1
0.7%
57516 1
0.7%
57588 1
0.7%
57615 1
0.7%
57631 1
0.7%
57689 1
0.7%
57710 1
0.7%
57738 1
0.7%
ValueCountFrequency (%)
64129 1
0.7%
64078 1
0.7%
64051 1
0.7%
63949 2
1.4%
63897 1
0.7%
63878 1
0.7%
63870 1
0.7%
63814 1
0.7%
63733 1
0.7%
63621 1
0.7%

Male_Female_Ratio
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.001465
Minimum0.99639035
Maximum1.0106353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:52.726943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.99639035
5-th percentile0.99819611
Q10.99959442
median1.0005895
Q31.0027635
95-th percentile1.0088872
Maximum1.0106353
Range0.014244907
Interquartile range (IQR)0.0031691089

Descriptive statistics

Standard deviation0.0029281571
Coefficient of variation (CV)0.0029238737
Kurtosis1.816321
Mean1.001465
Median Absolute Deviation (MAD)0.0012984691
Skewness1.3396283
Sum144.21096
Variance8.5741042 × 10-6
MonotonicityNot monotonic
2023-09-01T10:28:52.800606image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.00042883 2
 
1.4%
1.008297247 1
 
0.7%
1.003048027 1
 
0.7%
1.002600504 1
 
0.7%
1.002028298 1
 
0.7%
1.002752474 1
 
0.7%
1.002970183 1
 
0.7%
1.00312233 1
 
0.7%
1.002796697 1
 
0.7%
1.001301826 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
0.9963903469 1
0.7%
0.9965429059 1
0.7%
0.9967036417 1
0.7%
0.9967060159 1
0.7%
0.9971982946 1
0.7%
0.9978394578 1
0.7%
0.9981554469 1
0.7%
0.9981758772 1
0.7%
0.9983107841 1
0.7%
0.998435218 1
0.7%
ValueCountFrequency (%)
1.010635254 1
0.7%
1.010515782 1
0.7%
1.010074526 1
0.7%
1.009610353 1
0.7%
1.009436502 1
0.7%
1.009348751 1
0.7%
1.009314999 1
0.7%
1.008991325 1
0.7%
1.008297247 1
0.7%
1.007216073 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct82
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.576389
Minimum19.2
Maximum27.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:52.879825image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum19.2
5-th percentile19.4
Q120.375
median22.25
Q324.3
95-th percentile27.185
Maximum27.8
Range8.6
Interquartile range (IQR)3.925

Descriptive statistics

Standard deviation2.4866915
Coefficient of variation (CV)0.11014567
Kurtosis-0.86748529
Mean22.576389
Median Absolute Deviation (MAD)1.95
Skewness0.45550442
Sum3251
Variance6.1836344
MonotonicityNot monotonic
2023-09-01T10:28:52.952317image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.5 11
 
7.6%
19.4 7
 
4.9%
23.3 4
 
2.8%
21.9 4
 
2.8%
20.3 3
 
2.1%
22.2 3
 
2.1%
22.6 3
 
2.1%
20.9 3
 
2.1%
20.7 3
 
2.1%
23.4 3
 
2.1%
Other values (72) 100
69.4%
ValueCountFrequency (%)
19.2 1
 
0.7%
19.3 2
 
1.4%
19.4 7
4.9%
19.5 11
7.6%
19.6 3
 
2.1%
19.7 1
 
0.7%
19.8 1
 
0.7%
20 2
 
1.4%
20.1 3
 
2.1%
20.2 2
 
1.4%
ValueCountFrequency (%)
27.8 1
0.7%
27.7 1
0.7%
27.6 1
0.7%
27.5 1
0.7%
27.4 1
0.7%
27.3 2
1.4%
27.2 1
0.7%
27.1 1
0.7%
27 2
1.4%
26.8 1
0.7%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0622147 × 108
Minimum73762000
Maximum1.4726689 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.027543image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum73762000
5-th percentile83114450
Q193615216
median1.0488663 × 108
Q31.1741349 × 108
95-th percentile1.3385684 × 108
Maximum1.4726689 × 108
Range73504888
Interquartile range (IQR)23798277

Descriptive statistics

Standard deviation15915753
Coefficient of variation (CV)0.14983555
Kurtosis-0.55368328
Mean1.0622147 × 108
Median Absolute Deviation (MAD)11925176
Skewness0.29234738
Sum1.5295891 × 1010
Variance2.5331118 × 1014
MonotonicityNot monotonic
2023-09-01T10:28:53.102046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107303000 1
 
0.7%
104995000 1
 
0.7%
102172007 1
 
0.7%
89085212 1
 
0.7%
112345415 1
 
0.7%
125423782 1
 
0.7%
140753884 1
 
0.7%
142369435 1
 
0.7%
124561573 1
 
0.7%
106985810 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
73762000 1
0.7%
77871000 1
0.7%
78668000 1
0.7%
79722000 1
0.7%
80761000 1
0.7%
80897000 1
0.7%
80918000 1
0.7%
83033000 1
0.7%
83576000 1
0.7%
84574000 1
0.7%
ValueCountFrequency (%)
147266888 1
0.7%
142369435 1
0.7%
140753884 1
0.7%
140431941 1
0.7%
139050006 1
0.7%
135282932 1
0.7%
134496768 1
0.7%
134226623 1
0.7%
131761377 1
0.7%
131472375 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4500.0903
Minimum2952
Maximum7320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.181786image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2952
5-th percentile3248.05
Q13761.75
median4561.5
Q35026.25
95-th percentile6035.3
Maximum7320
Range4368
Interquartile range (IQR)1264.5

Descriptive statistics

Standard deviation838.12774
Coefficient of variation (CV)0.18624687
Kurtosis0.38798984
Mean4500.0903
Median Absolute Deviation (MAD)571
Skewness0.47717843
Sum648013
Variance702458.11
MonotonicityNot monotonic
2023-09-01T10:28:53.253584image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4247 2
 
1.4%
4939 2
 
1.4%
4340 2
 
1.4%
4119 2
 
1.4%
5160 1
 
0.7%
5196 1
 
0.7%
5247 1
 
0.7%
5310 1
 
0.7%
5277 1
 
0.7%
5369 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
2952 1
0.7%
2989 1
0.7%
3000 1
0.7%
3062 1
0.7%
3137 1
0.7%
3215 1
0.7%
3218 1
0.7%
3235 1
0.7%
3322 1
0.7%
3346 1
0.7%
ValueCountFrequency (%)
7320 1
0.7%
6962 1
0.7%
6427 1
0.7%
6361 1
0.7%
6316 1
0.7%
6220 1
0.7%
6094 1
0.7%
6047 1
0.7%
5969 1
0.7%
5798 1
0.7%

Business_above_100
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.548611
Minimum24
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.316772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile25.15
Q130
median33.5
Q337.25
95-th percentile41
Maximum44
Range20
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation5.045014
Coefficient of variation (CV)0.15037922
Kurtosis-0.99233265
Mean33.548611
Median Absolute Deviation (MAD)3.5
Skewness0.019823697
Sum4831
Variance25.452166
MonotonicityNot monotonic
2023-09-01T10:28:53.377961image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
30 13
 
9.0%
31 12
 
8.3%
33 10
 
6.9%
37 10
 
6.9%
28 10
 
6.9%
35 10
 
6.9%
36 9
 
6.2%
26 8
 
5.6%
41 8
 
5.6%
38 8
 
5.6%
Other values (11) 46
31.9%
ValueCountFrequency (%)
24 1
 
0.7%
25 7
4.9%
26 8
5.6%
27 2
 
1.4%
28 10
6.9%
29 5
 
3.5%
30 13
9.0%
31 12
8.3%
32 4
 
2.8%
33 10
6.9%
ValueCountFrequency (%)
44 1
 
0.7%
43 2
 
1.4%
42 4
 
2.8%
41 8
5.6%
40 6
4.2%
39 7
4.9%
38 8
5.6%
37 10
6.9%
36 9
6.2%
35 10
6.9%

complex_area
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2658893.4
Minimum2284950
Maximum2905652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.442280image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2284950
5-th percentile2285686
Q12417647
median2890862
Q32905469
95-th percentile2905652
Maximum2905652
Range620702
Interquartile range (IQR)487822

Descriptive statistics

Standard deviation277322.96
Coefficient of variation (CV)0.10430014
Kurtosis-1.8012459
Mean2658893.4
Median Absolute Deviation (MAD)14790
Skewness-0.34796651
Sum3.8288065 × 108
Variance7.6908026 × 1010
MonotonicityNot monotonic
2023-09-01T10:28:53.497262image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2890862 33
22.9%
2287007 18
12.5%
2905652 16
11.1%
2285686 9
 
6.2%
2417647 9
 
6.2%
2905469 9
 
6.2%
2905478 8
 
5.6%
2417861 7
 
4.9%
2905479 7
 
4.9%
2420513 5
 
3.5%
Other values (10) 23
16.0%
ValueCountFrequency (%)
2284950 3
 
2.1%
2285686 9
6.2%
2286183 3
 
2.1%
2287007 18
12.5%
2296252 2
 
1.4%
2417647 9
6.2%
2417861 7
 
4.9%
2420512 3
 
2.1%
2420513 5
 
3.5%
2420760 2
 
1.4%
ValueCountFrequency (%)
2905652 16
11.1%
2905479 7
 
4.9%
2905478 8
 
5.6%
2905469 9
 
6.2%
2902355 1
 
0.7%
2901372 1
 
0.7%
2890945 2
 
1.4%
2890862 33
22.9%
2889720 4
 
2.8%
2591601 2
 
1.4%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean547.25
Minimum434
Maximum762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.554954image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum434
5-th percentile434
Q1494
median526.5
Q3569
95-th percentile762
Maximum762
Range328
Interquartile range (IQR)75

Descriptive statistics

Standard deviation89.973539
Coefficient of variation (CV)0.1644103
Kurtosis0.52857016
Mean547.25
Median Absolute Deviation (MAD)38
Skewness1.0953513
Sum78804
Variance8095.2378
MonotonicityNot monotonic
2023-09-01T10:28:53.607377image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
528 12
8.3%
497 12
8.3%
525 12
8.3%
561 12
8.3%
434 12
8.3%
451 12
8.3%
485 12
8.3%
504 12
8.3%
550 12
8.3%
593 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
434 12
8.3%
451 12
8.3%
485 12
8.3%
497 12
8.3%
504 12
8.3%
525 12
8.3%
528 12
8.3%
550 12
8.3%
561 12
8.3%
593 12
8.3%
ValueCountFrequency (%)
762 12
8.3%
677 12
8.3%
593 12
8.3%
561 12
8.3%
550 12
8.3%
528 12
8.3%
525 12
8.3%
504 12
8.3%
497 12
8.3%
485 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1786
Minimum1371
Maximum1928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.662860image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1371
5-th percentile1371
Q11750
median1852
Q31889.5
95-th percentile1928
Maximum1928
Range557
Interquartile range (IQR)139.5

Descriptive statistics

Standard deviation162.98458
Coefficient of variation (CV)0.091256762
Kurtosis1.2512118
Mean1786
Median Absolute Deviation (MAD)58.5
Skewness-1.5456064
Sum257184
Variance26563.972
MonotonicityNot monotonic
2023-09-01T10:28:53.713523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1924 12
8.3%
1887 12
8.3%
1928 12
8.3%
1855 12
8.3%
1897 12
8.3%
1859 12
8.3%
1832 12
8.3%
1849 12
8.3%
1744 12
8.3%
1752 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
1371 12
8.3%
1534 12
8.3%
1744 12
8.3%
1752 12
8.3%
1832 12
8.3%
1849 12
8.3%
1855 12
8.3%
1859 12
8.3%
1887 12
8.3%
1897 12
8.3%
ValueCountFrequency (%)
1928 12
8.3%
1924 12
8.3%
1897 12
8.3%
1887 12
8.3%
1859 12
8.3%
1855 12
8.3%
1849 12
8.3%
1832 12
8.3%
1752 12
8.3%
1744 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2566004
Minimum1.1126179
Maximum1.4693487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.768903image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.1126179
5-th percentile1.1126179
Q11.1636914
median1.214957
Q31.3297331
95-th percentile1.4693487
Maximum1.4693487
Range0.35673073
Interquartile range (IQR)0.16604169

Descriptive statistics

Standard deviation0.10974494
Coefficient of variation (CV)0.087334798
Kurtosis-0.77781157
Mean1.2566004
Median Absolute Deviation (MAD)0.060929203
Skewness0.65534008
Sum180.95045
Variance0.012043952
MonotonicityNot monotonic
2023-09-01T10:28:53.825583image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.154861945 12
8.3%
1.112617925 12
8.3%
1.163548582 12
8.3%
1.163739021 12
8.3%
1.205975842 12
8.3%
1.213446475 12
8.3%
1.216467463 12
8.3%
1.324498567 12
8.3%
1.276720351 12
8.3%
1.432542927 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
1.112617925 12
8.3%
1.154861945 12
8.3%
1.163548582 12
8.3%
1.163739021 12
8.3%
1.205975842 12
8.3%
1.213446475 12
8.3%
1.216467463 12
8.3%
1.276720351 12
8.3%
1.324498567 12
8.3%
1.345436703 12
8.3%
ValueCountFrequency (%)
1.469348659 12
8.3%
1.432542927 12
8.3%
1.345436703 12
8.3%
1.324498567 12
8.3%
1.276720351 12
8.3%
1.216467463 12
8.3%
1.213446475 12
8.3%
1.205975842 12
8.3%
1.163739021 12
8.3%
1.163548582 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59521472
Minimum42448436
Maximum85134538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.886345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum42448436
5-th percentile42448436
Q148761436
median57753720
Q367787163
95-th percentile85134538
Maximum85134538
Range42686102
Interquartile range (IQR)19025727

Descriptive statistics

Standard deviation13413668
Coefficient of variation (CV)0.22535847
Kurtosis-0.8670742
Mean59521472
Median Absolute Deviation (MAD)9724505.5
Skewness0.47667593
Sum8.571092 × 109
Variance1.7992648 × 1014
MonotonicityIncreasing
2023-09-01T10:28:53.938638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
42448436 12
8.3%
42577040 12
8.3%
47159202 12
8.3%
49295514 12
8.3%
52844276 12
8.3%
55480482 12
8.3%
60026957 12
8.3%
61950197 12
8.3%
66608213 12
8.3%
71324014 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
42448436 12
8.3%
42577040 12
8.3%
47159202 12
8.3%
49295514 12
8.3%
52844276 12
8.3%
55480482 12
8.3%
60026957 12
8.3%
61950197 12
8.3%
66608213 12
8.3%
71324014 12
8.3%
ValueCountFrequency (%)
85134538 12
8.3%
79408800 12
8.3%
71324014 12
8.3%
66608213 12
8.3%
61950197 12
8.3%
60026957 12
8.3%
55480482 12
8.3%
52844276 12
8.3%
49295514 12
8.3%
47159202 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.216667
Minimum63.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:53.992001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum63.3
5-th percentile63.3
Q170.15
median97.7
Q399.15
95-th percentile100
Maximum100
Range36.7
Interquartile range (IQR)29

Descriptive statistics

Standard deviation14.778467
Coefficient of variation (CV)0.16752466
Kurtosis-1.3996719
Mean88.216667
Median Absolute Deviation (MAD)2.1
Skewness-0.73262284
Sum12703.2
Variance218.40308
MonotonicityNot monotonic
2023-09-01T10:28:54.048354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
63.3 12
8.3%
67.2 12
8.3%
70.4 12
8.3%
69.4 12
8.3%
96.8 12
8.3%
98.6 12
8.3%
99.6 12
8.3%
99.9 12
8.3%
99 12
8.3%
100 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
63.3 12
8.3%
67.2 12
8.3%
69.4 12
8.3%
70.4 12
8.3%
95.7 12
8.3%
96.8 12
8.3%
98.6 12
8.3%
98.7 12
8.3%
99 12
8.3%
99.6 12
8.3%
ValueCountFrequency (%)
100 12
8.3%
99.9 12
8.3%
99.6 12
8.3%
99 12
8.3%
98.7 12
8.3%
98.6 12
8.3%
96.8 12
8.3%
95.7 12
8.3%
70.4 12
8.3%
69.4 12
8.3%

employment_ratio
Real number (ℝ)

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21285.819
Minimum15722
Maximum26281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:54.121927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum15722
5-th percentile16748.8
Q118858.75
median21218.5
Q323544
95-th percentile25750.3
Maximum26281
Range10559
Interquartile range (IQR)4685.25

Descriptive statistics

Standard deviation2842.691
Coefficient of variation (CV)0.13354858
Kurtosis-1.0832702
Mean21285.819
Median Absolute Deviation (MAD)2371
Skewness-0.032028262
Sum3065158
Variance8080892.3
MonotonicityNot monotonic
2023-09-01T10:28:54.196667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20499 2
 
1.4%
25011 2
 
1.4%
22419 1
 
0.7%
22660 1
 
0.7%
22657 1
 
0.7%
22794 1
 
0.7%
22348 1
 
0.7%
22149 1
 
0.7%
22547 1
 
0.7%
15722 1
 
0.7%
Other values (132) 132
91.7%
ValueCountFrequency (%)
15722 1
0.7%
15904 1
0.7%
16336 1
0.7%
16566 1
0.7%
16610 1
0.7%
16658 1
0.7%
16674 1
0.7%
16747 1
0.7%
16759 1
0.7%
16764 1
0.7%
ValueCountFrequency (%)
26281 1
0.7%
26229 1
0.7%
26221 1
0.7%
26100 1
0.7%
25991 1
0.7%
25940 1
0.7%
25887 1
0.7%
25795 1
0.7%
25497 1
0.7%
25450 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17378374
Minimum0.12372416
Maximum0.2292041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:54.271865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.12372416
5-th percentile0.13213519
Q10.14888033
median0.17110386
Q30.19555666
95-th percentile0.22307004
Maximum0.2292041
Range0.10547994
Interquartile range (IQR)0.046676334

Descriptive statistics

Standard deviation0.028599154
Coefficient of variation (CV)0.16456749
Kurtosis-1.0328439
Mean0.17378374
Median Absolute Deviation (MAD)0.023125197
Skewness0.19258596
Sum25.024859
Variance0.00081791161
MonotonicityNot monotonic
2023-09-01T10:28:54.346393image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1237241586 1
 
0.7%
0.1252037001 1
 
0.7%
0.1848724413 1
 
0.7%
0.1850412028 1
 
0.7%
0.1862346193 1
 
0.7%
0.1828206806 1
 
0.7%
0.1814614244 1
 
0.7%
0.184972189 1
 
0.7%
0.1887105518 1
 
0.7%
0.1897100555 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.1237241586 1
0.7%
0.1252037001 1
0.7%
0.128717084 1
0.7%
0.1305313918 1
0.7%
0.1309109752 1
0.7%
0.1313282257 1
0.7%
0.131613046 1
0.7%
0.1321312561 1
0.7%
0.1321575126 1
0.7%
0.1325259297 1
0.7%
ValueCountFrequency (%)
0.2292040955 1
0.7%
0.2284676176 1
0.7%
0.2281933497 1
0.7%
0.2266510356 1
0.7%
0.2254108668 1
0.7%
0.2250974063 1
0.7%
0.2242638459 1
0.7%
0.2232946676 1
0.7%
0.2217971227 1
0.7%
0.2206138112 1
0.7%

Average_Temp
Real number (ℝ)

Distinct113
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.657639
Minimum-5.8
Maximum27.9
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)13.2%
Memory size6.3 KiB
2023-09-01T10:28:54.422773image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-5.8
5-th percentile-1.585
Q13.725
median13.15
Q321.9
95-th percentile26.5
Maximum27.9
Range33.7
Interquartile range (IQR)18.175

Descriptive statistics

Standard deviation9.7393914
Coefficient of variation (CV)0.76944772
Kurtosis-1.3510945
Mean12.657639
Median Absolute Deviation (MAD)8.75
Skewness-0.080384912
Sum1822.7
Variance94.855745
MonotonicityNot monotonic
2023-09-01T10:28:54.491408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.9 3
 
2.1%
17.8 3
 
2.1%
7.7 3
 
2.1%
1.2 3
 
2.1%
22.4 3
 
2.1%
20.7 3
 
2.1%
25.1 2
 
1.4%
20.4 2
 
1.4%
2.1 2
 
1.4%
7.2 2
 
1.4%
Other values (103) 118
81.9%
ValueCountFrequency (%)
-5.8 1
0.7%
-3.6 1
0.7%
-3.2 1
0.7%
-2.9 1
0.7%
-2.4 1
0.7%
-2 1
0.7%
-1.9 1
0.7%
-1.6 1
0.7%
-1.5 2
1.4%
-1.3 1
0.7%
ValueCountFrequency (%)
27.9 1
0.7%
27.4 1
0.7%
27.2 1
0.7%
27.1 1
0.7%
26.8 2
1.4%
26.6 1
0.7%
26.5 2
1.4%
26.3 1
0.7%
26.1 1
0.7%
26 1
0.7%

Monthly_Rainfall
Real number (ℝ)

Distinct137
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.37083
Minimum0.5
Maximum618.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:54.565951image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile7.255
Q135.75
median72.35
Q3134.5
95-th percentile338.94
Maximum618.1
Range617.6
Interquartile range (IQR)98.75

Descriptive statistics

Standard deviation115.89879
Coefficient of variation (CV)1.0694648
Kurtosis6.1715758
Mean108.37083
Median Absolute Deviation (MAD)41.25
Skewness2.3014399
Sum15605.4
Variance13432.529
MonotonicityNot monotonic
2023-09-01T10:28:54.636728image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 3
 
2.1%
42.4 2
 
1.4%
36.1 2
 
1.4%
60.2 2
 
1.4%
56.9 2
 
1.4%
60.7 2
 
1.4%
37.1 1
 
0.7%
116.1 1
 
0.7%
43.1 1
 
0.7%
99.3 1
 
0.7%
Other values (127) 127
88.2%
ValueCountFrequency (%)
0.5 1
0.7%
2.2 1
0.7%
3.2 1
0.7%
3.4 1
0.7%
3.7 1
0.7%
4.4 1
0.7%
6.6 1
0.7%
7 1
0.7%
8.7 1
0.7%
8.8 1
0.7%
ValueCountFrequency (%)
618.1 1
0.7%
599.6 1
0.7%
573.3 1
0.7%
492.6 1
0.7%
431.1 1
0.7%
367.8 1
0.7%
358.5 1
0.7%
341.1 1
0.7%
326.7 1
0.7%
316 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.513889
Minimum55
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:54.707015image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile61
Q166
median73.5
Q378
95-th percentile83
Maximum88
Range33
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.2959287
Coefficient of variation (CV)0.10061422
Kurtosis-0.66785648
Mean72.513889
Median Absolute Deviation (MAD)5.5
Skewness-0.1658478
Sum10442
Variance53.230575
MonotonicityNot monotonic
2023-09-01T10:28:54.769551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
71 12
 
8.3%
75 11
 
7.6%
80 10
 
6.9%
76 9
 
6.2%
74 8
 
5.6%
64 8
 
5.6%
65 7
 
4.9%
78 6
 
4.2%
81 5
 
3.5%
77 5
 
3.5%
Other values (22) 63
43.8%
ValueCountFrequency (%)
55 1
 
0.7%
56 1
 
0.7%
58 1
 
0.7%
59 2
 
1.4%
60 2
 
1.4%
61 3
 
2.1%
62 4
2.8%
63 4
2.8%
64 8
5.6%
65 7
4.9%
ValueCountFrequency (%)
88 1
 
0.7%
87 2
 
1.4%
86 2
 
1.4%
84 2
 
1.4%
83 4
 
2.8%
82 3
 
2.1%
81 5
3.5%
80 10
6.9%
79 4
 
2.8%
78 6
4.2%

Ground_Temp
Real number (ℝ)

Distinct111
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.097917
Minimum-1.8
Maximum34.2
Zeros1
Zeros (%)0.7%
Negative9
Negative (%)6.2%
Memory size6.3 KiB
2023-09-01T10:28:54.841977image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-1.8
5-th percentile-0.1
Q15.725
median15.35
Q325.05
95-th percentile29.9
Maximum34.2
Range36
Interquartile range (IQR)19.325

Descriptive statistics

Standard deviation10.612537
Coefficient of variation (CV)0.70291399
Kurtosis-1.4209034
Mean15.097917
Median Absolute Deviation (MAD)9.95
Skewness-0.02861952
Sum2174.1
Variance112.62594
MonotonicityNot monotonic
2023-09-01T10:28:54.912858image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.5 3
 
2.1%
21.9 3
 
2.1%
-0.1 2
 
1.4%
29.9 2
 
1.4%
16.1 2
 
1.4%
6.6 2
 
1.4%
-0.5 2
 
1.4%
-1.1 2
 
1.4%
1.2 2
 
1.4%
25.8 2
 
1.4%
Other values (101) 122
84.7%
ValueCountFrequency (%)
-1.8 1
0.7%
-1.1 2
1.4%
-0.8 1
0.7%
-0.5 2
1.4%
-0.4 1
0.7%
-0.1 2
1.4%
0 1
0.7%
0.1 1
0.7%
0.6 1
0.7%
0.9 1
0.7%
ValueCountFrequency (%)
34.2 1
0.7%
31.9 2
1.4%
30.7 1
0.7%
30.3 1
0.7%
30.2 1
0.7%
30.1 1
0.7%
29.9 2
1.4%
29.6 1
0.7%
29.3 2
1.4%
29.2 1
0.7%

Average_Wind
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3111111
Minimum0.8
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:54.977177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1
Q11.175
median1.3
Q31.4
95-th percentile1.8
Maximum2
Range1.2
Interquartile range (IQR)0.225

Descriptive statistics

Standard deviation0.23803129
Coefficient of variation (CV)0.18154929
Kurtosis0.174775
Mean1.3111111
Median Absolute Deviation (MAD)0.1
Skewness0.49097175
Sum188.8
Variance0.056658897
MonotonicityNot monotonic
2023-09-01T10:28:55.036495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.2 27
18.8%
1.4 24
16.7%
1.3 23
16.0%
1.1 20
13.9%
1.5 14
9.7%
1 9
 
6.2%
1.8 7
 
4.9%
1.6 6
 
4.2%
0.9 5
 
3.5%
1.7 4
 
2.8%
Other values (3) 5
 
3.5%
ValueCountFrequency (%)
0.8 2
 
1.4%
0.9 5
 
3.5%
1 9
 
6.2%
1.1 20
13.9%
1.2 27
18.8%
1.3 23
16.0%
1.4 24
16.7%
1.5 14
9.7%
1.6 6
 
4.2%
1.7 4
 
2.8%
ValueCountFrequency (%)
2 1
 
0.7%
1.9 2
 
1.4%
1.8 7
 
4.9%
1.7 4
 
2.8%
1.6 6
 
4.2%
1.5 14
9.7%
1.4 24
16.7%
1.3 23
16.0%
1.2 27
18.8%
1.1 20
13.9%

Average_Pressure
Real number (ℝ)

Distinct105
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1015.4375
Minimum1004.6
Maximum1026.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:28:55.106273image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1004.6
5-th percentile1005.615
Q11008.875
median1016.95
Q31021.45
95-th percentile1025.055
Maximum1026.5
Range21.9
Interquartile range (IQR)12.575

Descriptive statistics

Standard deviation6.8646238
Coefficient of variation (CV)0.0067602622
Kurtosis-1.4177477
Mean1015.4375
Median Absolute Deviation (MAD)6.25
Skewness-0.094067304
Sum146223
Variance47.123059
MonotonicityNot monotonic
2023-09-01T10:28:55.177265image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1006.6 5
 
3.5%
1005.7 4
 
2.8%
1023.5 4
 
2.8%
1019.1 3
 
2.1%
1012.5 3
 
2.1%
1025.1 3
 
2.1%
1023.4 2
 
1.4%
1006.7 2
 
1.4%
1010.1 2
 
1.4%
1006 2
 
1.4%
Other values (95) 114
79.2%
ValueCountFrequency (%)
1004.6 1
 
0.7%
1004.7 2
1.4%
1004.8 1
 
0.7%
1005 1
 
0.7%
1005.1 1
 
0.7%
1005.5 1
 
0.7%
1005.6 1
 
0.7%
1005.7 4
2.8%
1005.9 2
1.4%
1006 2
1.4%
ValueCountFrequency (%)
1026.5 1
 
0.7%
1026.4 1
 
0.7%
1026.3 1
 
0.7%
1026.2 1
 
0.7%
1025.5 1
 
0.7%
1025.1 3
2.1%
1024.8 1
 
0.7%
1024.5 2
1.4%
1024.3 2
1.4%
1024.2 2
1.4%

Interactions

2023-09-01T10:28:49.414391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:06.480075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.497899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:10.888154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:13.027347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.815675image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:16.994694image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.610673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.485353image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:23.097417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.278635image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:27.051742image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.710535image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.237591image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.785800image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.701139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.309276image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.761651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.301332image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.821426image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.797952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.302250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.818592image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.382056image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.903843image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.473072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:06.601480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.609866image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:10.993508image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:13.105040image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.900654image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:17.545873image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.698841image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.554419image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:23.165862image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.342364image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:27.159600image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.772392image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.303169image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.849131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.769440image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.368731image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.823871image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.361622image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.881564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.861804image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.363917image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.882334image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.441118image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.966289image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.532893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:06.717604image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.721864image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:11.066508image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:13.175915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.972430image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:17.620625image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.773526image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.618811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:23.233979image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.425337image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:27.229985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.844782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.367549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.911674image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.840384image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.426187image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.888615image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.423036image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.955800image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.923728image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.425319image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.945044image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.503006image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:48.030488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.591782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:06.792297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.792674image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:11.150004image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:13.239497image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:15.076411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:17.686873image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.841645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.686683image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:23.301540image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.489488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:27.300721image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.902441image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.433645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.969326image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.903109image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.479988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.954612image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.477437image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:40.017944image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.990947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.484979image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:45.004961image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.560231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:48.089100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.645087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:06.854952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.878500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:11.282009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-09-01T10:28:14.435022image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:16.598295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.166905image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.133291image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:22.789209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:24.884402image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:26.754627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.397435image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:29.940427image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.471718image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.400899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:34.993716image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.474539image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:37.994844image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.503222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.026994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.014965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.494849image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.071260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.601479image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.125510image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:50.648676image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.192932image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:10.234495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:12.730690image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.506854image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:16.676431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.258060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.208124image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:22.850878image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:24.960042image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:26.814805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.463523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.001161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.533350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.461431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.056445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.533562image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.055391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.566679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.085686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.072688image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.550418image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.135884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.663845image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.183504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:50.706267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.267034image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:10.315352image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:12.801492image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.577828image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:16.771599image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.364757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.280869image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:22.913964image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.034380image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:26.878515image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.525538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.061078image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.594170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.522352image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.119156image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.591608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.115629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.630503image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.142999image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.132401image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.636881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.209479image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.725947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.243172image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:50.772890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.342764image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:10.383415image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:12.888691image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.653781image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:16.845957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.447569image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.350795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:22.976955image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.112027image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:26.939504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.588677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.121712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.661572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.583548image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.185382image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.650513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.177895image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.697945image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.678866image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.189863image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.699549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.268312image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.787397image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.303918image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:50.840883image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:08.421875image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:10.798678image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:12.954458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:14.723973image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:16.920391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:19.535487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:21.417134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:23.039993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:25.188450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:26.997750image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:28.651061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:30.181646image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:31.726027image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:33.645887image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:35.251837image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:36.707253image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:38.238004image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:39.763269image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:41.738046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:43.247915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:44.762259image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:46.326536image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:47.848807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:28:49.360909image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T10:28:55.255763image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.000-0.9260.925-0.935-0.928-0.913-0.2550.9350.4170.860-0.7460.9070.538-0.8820.8900.9320.6480.9350.9350.2290.1400.3640.235-0.322-0.136
Total_Population-0.9261.000-0.9750.9870.9980.9960.206-0.991-0.506-0.9070.807-0.967-0.5580.909-0.966-0.985-0.690-0.982-0.985-0.063-0.010-0.262-0.0770.322-0.024
Households0.925-0.9751.000-0.993-0.979-0.962-0.2230.9890.5190.905-0.8160.9650.524-0.9280.9550.9890.6990.9880.9900.035-0.0120.2650.042-0.3320.051
Population_per_Households-0.9350.987-0.9931.0000.9920.9730.249-0.998-0.519-0.9140.802-0.972-0.5370.920-0.962-0.996-0.704-0.996-0.997-0.0510.002-0.261-0.0610.334-0.035
Male_Population-0.9280.998-0.9790.9921.0000.9910.232-0.995-0.517-0.9100.807-0.970-0.5550.907-0.967-0.990-0.697-0.987-0.989-0.052-0.004-0.259-0.0650.322-0.032
Female_Population-0.9130.996-0.9620.9730.9911.0000.151-0.979-0.492-0.9000.819-0.959-0.5570.903-0.958-0.972-0.676-0.969-0.971-0.071-0.017-0.256-0.0830.314-0.020
Male_Female_Ratio-0.2550.206-0.2230.2490.2320.1511.000-0.243-0.110-0.189-0.019-0.233-0.2110.098-0.172-0.2350.015-0.253-0.252-0.041-0.070-0.289-0.0540.1740.011
Population_aging_Ratio0.935-0.9910.989-0.998-0.995-0.979-0.2431.0000.5170.911-0.8010.9710.543-0.9160.9640.9950.7020.9940.9960.052-0.0050.2660.062-0.3420.038
Power_usage0.417-0.5060.519-0.519-0.517-0.492-0.1100.5171.0000.424-0.4480.5070.287-0.5080.5260.5520.4090.4700.480-0.612-0.416-0.196-0.605-0.1980.585
Num_of_Business0.860-0.9070.905-0.914-0.910-0.900-0.1890.9110.4241.000-0.6480.9020.455-0.8550.8540.9070.6590.9150.9160.0990.0610.2700.108-0.274-0.007
Business_above_100-0.7460.807-0.8160.8020.8070.819-0.019-0.801-0.448-0.6481.000-0.788-0.5400.796-0.814-0.809-0.561-0.793-0.7960.0190.047-0.0680.0150.193-0.069
complex_area0.907-0.9670.965-0.972-0.970-0.959-0.2330.9710.5070.902-0.7881.0000.502-0.8950.9400.9690.7050.9710.9720.031-0.0100.2620.045-0.3380.054
annual_household_income0.538-0.5580.524-0.537-0.555-0.557-0.2110.5430.2870.455-0.5400.5021.000-0.6290.5170.5380.0280.5300.5330.0100.0460.0410.016-0.1430.011
High_School_Graduate_num-0.8820.909-0.9280.9200.9070.9030.098-0.916-0.508-0.8550.796-0.895-0.6291.000-0.860-0.923-0.566-0.909-0.912-0.035-0.012-0.201-0.0390.290-0.045
High_School_Graduate_ratio0.890-0.9660.955-0.962-0.967-0.958-0.1720.9640.5260.854-0.8140.9400.517-0.8601.0000.9650.7830.9570.9590.027-0.0350.2050.040-0.2840.037
personal_expense0.932-0.9850.989-0.996-0.990-0.972-0.2350.9950.5520.907-0.8090.9690.538-0.9230.9651.0000.7060.9880.9910.029-0.0160.2200.041-0.3030.042
benefits_vs_personal_expense0.648-0.6900.699-0.704-0.697-0.6760.0150.7020.4090.659-0.5610.7050.028-0.5660.7830.7061.0000.7100.7070.017-0.0590.1130.027-0.1340.030
employment_ratio0.935-0.9820.988-0.996-0.987-0.969-0.2530.9940.4700.915-0.7930.9710.530-0.9090.9570.9880.7101.0000.9990.0950.0280.2830.104-0.334-0.001
employment_insurance_ratio0.935-0.9850.990-0.997-0.989-0.971-0.2520.9960.4800.916-0.7960.9720.533-0.9120.9590.9910.7070.9991.0000.0840.0200.2750.095-0.3340.007
Average_Temp0.229-0.0630.035-0.051-0.052-0.071-0.0410.052-0.6120.0990.0190.0310.010-0.0350.0270.0290.0170.0950.0841.0000.7120.4980.9940.192-0.923
Monthly_Rainfall0.140-0.010-0.0120.002-0.004-0.017-0.070-0.005-0.4160.0610.047-0.0100.046-0.012-0.035-0.016-0.0590.0280.0200.7121.0000.5540.6870.198-0.678
Average_Relative_Humadity0.364-0.2620.265-0.261-0.259-0.256-0.2890.266-0.1960.270-0.0680.2620.041-0.2010.2050.2200.1130.2830.2750.4980.5541.0000.478-0.423-0.353
Ground_Temp0.235-0.0770.042-0.061-0.065-0.083-0.0540.062-0.6050.1080.0150.0450.016-0.0390.0400.0410.0270.1040.0950.9940.6870.4781.0000.202-0.928
Average_Wind-0.3220.322-0.3320.3340.3220.3140.174-0.342-0.198-0.2740.193-0.338-0.1430.290-0.284-0.303-0.134-0.334-0.3340.1920.198-0.4230.2021.000-0.383
Average_Pressure-0.136-0.0240.051-0.035-0.032-0.0200.0110.0380.585-0.007-0.0690.0540.011-0.0450.0370.0420.030-0.0010.007-0.923-0.678-0.353-0.928-0.3831.000

Missing values

2023-09-01T10:28:50.940244image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T10:28:51.128281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-0131840.000000127073.052494.02.42071563799.063274.01.00829719.2107303000.03358.034.02296252.0528.01924.01.15486242448436.063.315722.00.123724-2.437.172.0-0.11.21023.4
2010-02-0130426.928571127025.052558.02.41685463808.063217.01.00934919.3104995000.03520.035.02296252.0528.01924.01.15486242448436.063.315904.00.1252042.289.569.03.51.41020.2
2010-03-0129786.548387126914.052539.02.41561563755.063159.01.00943719.395270000.03762.032.02286183.0528.01924.01.15486242448436.063.316336.00.1287175.794.965.06.92.01019.1
2010-04-0130171.366667126912.052541.02.41548563740.063172.01.00899119.492099000.04062.035.02286183.0528.01924.01.15486242448436.063.316566.00.1305319.769.662.012.31.81017.1
2010-05-0130755.258065126836.052557.02.41330463712.063124.01.00931519.480761000.03322.034.02286183.0528.01924.01.15486242448436.063.316759.00.13213117.3140.768.020.81.71009.9
2010-06-0131251.966667126720.052537.02.41201463663.063057.01.00961019.478668000.03519.035.02285686.0528.01924.01.15486242448436.063.316747.00.13215823.036.169.029.21.41008.3
2010-07-0131967.322581126568.052542.02.40889263615.062953.01.01051619.577871000.03000.036.02285686.0528.01924.01.15486242448436.063.316658.00.13161325.9262.177.029.61.51006.6
2010-08-0133200.645161126477.052565.02.40610763573.062904.01.01063519.583033000.03137.039.02285686.0528.01924.01.15486242448436.063.316610.00.13132827.2431.180.030.11.31009.1
2010-09-0132331.033333126496.052611.02.40436463565.062931.01.01007519.580897000.03235.040.02285686.0528.01924.01.15486242448436.063.316764.00.13252622.4149.872.024.11.31012.2
2010-10-0130226.096774127675.053687.02.37813664067.063608.01.00721619.573762000.02952.039.02285686.0528.01924.01.15486242448436.063.317055.00.13358114.117.868.015.31.21018.0
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-0141169.161290115573.057510.02.00961657835.057738.01.00168027.0122521414.05798.030.02905652.0762.01371.01.34543785134538.095.725497.00.2206148.595.771.010.21.11019.1
2021-04-0140891.600000115520.057604.02.00541657810.057710.01.00173327.1112741732.06047.029.02905652.0762.01371.01.34543785134538.095.725795.00.22329513.542.361.016.01.41017.6
2021-05-0141267.838710115431.057702.02.00046857742.057689.01.00091927.2103769624.06316.029.02905652.0762.01371.01.34543785134538.095.725887.00.22426416.6136.975.019.51.31008.8
2021-06-0143739.700000115305.057753.01.99652057674.057631.01.00074627.3108200839.06361.029.02905652.0762.01371.01.34543785134538.095.725991.00.22541122.376.978.026.51.11007.1
2021-07-0145115.709677115239.057819.01.99309957624.057615.01.00015627.3113196566.06220.028.02905652.0762.01371.01.34543785134538.095.725940.00.22509726.6187.780.030.71.11007.3
2021-08-0145046.258065115155.057881.01.98951357567.057588.00.99963527.4127829997.05687.028.02905652.0762.01371.01.34543785134538.095.726100.00.22665125.2227.682.029.11.21007.8
2021-09-0143490.833333114942.057957.01.98322957426.057516.00.99843527.5112796840.05969.028.02905652.0762.01371.01.34543785134538.095.726229.00.22819321.8187.181.024.41.31012.6
2021-10-0142811.580645114769.057990.01.97911757304.057465.00.99719827.6103670972.06427.028.02905652.0762.01371.01.34543785134538.095.726221.00.22846814.736.981.017.60.81020.2
2021-11-0142466.966667114662.058030.01.97590957269.057393.00.99783927.7119925625.06962.028.02905652.0762.01371.01.34543785134538.095.726281.00.2292047.773.483.09.10.91018.4
2021-12-0141401.225806114483.058048.01.97221357147.057336.00.99670427.8126918999.07320.028.02905652.0762.01371.01.34543785134538.095.725392.00.2217971.28.776.02.11.11023.7